JOURNAL OF HYDROLOGY, cilt.660, 2025 (SCI-Expanded, Scopus)
Streamflow and actual evapotranspiration are two major components of the water balance must be computed, and knowing their quantities is essential for understanding hydrological processes at the watershed scale. Despite their importance, there have always been challenges in calculating the components at annual and monthly time scales in a computational grid, especially in complex catchment systems with different geophysical, land use and land cover characteristics. These shortcomings have led us to propose a framework that produces annual gridded values of these water balance components at the country scale. To this end, we proposed and calibrated a regional scale water balance model to simulate the form parameters of the Budyko framework based on the gridded and remotely sensed ancillary variables and with its application to the different gridded hydro-climatic datasets for actual evapotranspiration and streamflow. Given the importance of increasing the accuracy of these annual gridded values, we applied different fusion methods and finally the method of fragment was used to disaggregate the merged annual datasets to monthly values. Based on the results, the hybrid statistical metrics indicate that the generated annual datasets with ERA5-Land and ERA5 inputs show the most robust and the least robust performance, respectively. Furthermore, these statistics show that among the implemented fusion methods, CKF-MC and BMA have the most and least reliable results, respectively. This study provides insight into the development of novel methods based on the Budyko framework for the calculation of gridded actual evapotranspiration and streamflow, taking into account catchment characteristics.